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Published on: June 1, 2016
Thermodynamic Approaches in Flux Analysis.
Sabine Peres1,2, Vincent Fromion3
1LRI, Université Paris-Sud, CNRS, Université Paris-Saclay, 91405, Orsay, France. sabine.peres@lri.fr.
Constrained-based modeling (CBM) uses mass balance to analyze cellular metabolic networks. This review explores CBM approaches, including thermodynamic constraints, to address non-physical fluxes and inconsistencies.
Area of Science:
- Systems Biology
- Metabolic Engineering
- Computational Biology
Background:
- Cellular reaction networks adhere to fundamental mass and energy balance laws.
- Constrained-based modeling (CBM) is a primary computational method for analyzing metabolic network mass balance.
Purpose of the Study:
- To review diverse Constrained-based modeling (CBM) approaches.
- To discuss how different CBM methods address metabolic system challenges.
Main Methods:
- Stoichiometric analysis techniques, including elementary flux mode analysis and flux balance analysis.
- Integration of thermodynamic constraints into CBM frameworks.
- Review of various CBM methodologies and their problem-solving capabilities.
Main Results:
- CBM effectively models metabolic network mass balance.
- Thermodynamic constraints enhance CBM by identifying and eliminating non-physical fluxes.
- Different CBM approaches are suited for distinct metabolic modeling problems.
Conclusions:
- CBM, particularly with thermodynamic integration, is crucial for accurate metabolic network analysis.
- Understanding various CBM approaches aids in selecting appropriate methods for specific biological questions.
- This review provides a comprehensive overview of CBM strategies for metabolic systems.
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